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Gemini Embeddings Configuration

Gemini Embeddings Configuration Interface The Gemini embeddings configuration screen in Novaplan AI where you’ll enter your API Key and Model Name Novaplan AI allows you to integrate with Google’s Gemini embedding models to enable vector search, semantic similarity, and document retrieval in your workspace.

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Required Fields

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API Key *

The API Key is required to authenticate your requests to Google’s Gemini AI services. How to obtain an API Key:
  1. Log in to Google AI Studio
  2. Click on your profile icon in the top right corner
  3. Select “Get API key”
  4. Create a new API key or use an existing one
  5. Copy the generated API key
Security note: Treat this API key as a secret. Use the approved workspace setup flow, and coordinate access and rotation with Novaplan and your provider administrator.

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Model Name *

The Model Name field defines which Gemini embedding model you want to use with Novaplan AI. Available Gemini embedding models:
  • gemini-embedding-001 - Google’s latest embedding model with strong semantic understanding
How to choose a model:
  • For most use cases, select gemini-embedding-001
  • Check Google’s embedding documentation for the most up-to-date options

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Configuration Steps

As shown in the image above:
  1. Click Configure on the Gemini provider card
  2. Enter your Google AI API Key in the designated field (marked with *)
  3. Specify your desired Model Name (marked with *)
  4. Click Add Model to save and validate your credentials
Both the API Key and Model Name are required fields to successfully configure Gemini embedding integration.

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Usage Considerations

  • API usage will count against your Google AI API quota and billing
  • Different models have different pricing — check Google AI’s pricing page for details
  • Gemini embedding models support a wide range of languages

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Troubleshooting

  • If you encounter authentication errors, verify your API key is correct and has not expired
  • Ensure your Google account has billing set up if you are using paid service tiers
  • Check that the model name is spelled correctly and is available in your region
  • Verify that your API key has access to the Gemini embedding API
For additional support, refer to the Google Gemini documentation or contact Novaplan AI support.